Clinical Trial Details
— Status: Not yet recruiting
Administrative data
NCT number |
NCT06223737 |
Other study ID # |
SHPL_Def_00782 |
Secondary ID |
|
Status |
Not yet recruiting |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
June 1, 2024 |
Est. completion date |
December 30, 2024 |
Study information
Verified date |
January 2024 |
Source |
Schulthess Klinik |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
Aging-induced changes in the spine can lead to adult spinal deformity, causing a forward
and/or lateral shift of the trunk. While mild cases may have compensatory mechanisms, severe
deformities necessitate treatment. Surgery with instrumentation effectively corrects
deformities, but complications are common. Precise pre-operative planning based on X-rays is
essential. However, radiological imaging has limitations, including ionizing radiation
exposure and static nature. Marker-based optoelectronic motion analysis systems offer
potential benefits for dynamic spine assessment.
This study aims to test the feasibility of using motion analysis systems to characterize
spinal alignment and balance in patients with adult spine deformity. The primary objective is
to assess the practical implementation, measurement capability, and resources required for
motion analysis. Secondary objectives include investigating errors in absolute spinal
curvature assessment and developing compensation strategies.
The project will recruit 20 patients (non-operated and operated) seeking medical attention
for adult spine deformities and 10 healthy controls. Participants will undergo biplanar
imaging and motion analysis to capture static and dynamic spine alignment during common
activities. The data will help build patient-specific musculoskeletal models, offering
potential insights into improving surgical planning for adult spine deformities.
Description:
Aging and degeneration can lead to changes in the spine, causing adult spinal deformities
like loss of lumbar lordosis, thoracic hyperkyphosis, and scoliosis. Severe deformities can
be highly debilitating, necessitating treatments. Surgery using instrumentation, such as
pedicle screws, rods, and cages, can effectively correct adult spine deformities. However,
complications and failures are common.
Precise pre-operative planning based on standing X-rays is crucial before attempting
correction. Radiographic parameters, including pelvic incidence (PI), sagittal vertical axis
(SVA), lumbar lordosis, thoracic kyphosis, coronal Cobb angles, and vertebral rotation, are
measured to evaluate the patient's standing posture and compensatory mechanisms.
Limitations in traditional radiological imaging for spinal alignment assessment include
ionizing radiation exposure and lack of information on dynamic spine responses during various
activities. To address these limitations, marker-based optoelectronic motion analysis systems
have been proposed to characterize dynamic spinal alignment and movement during different
activities. This technology has shown promise in assessing spinal curvature changes reliably.
This research aims to investigate the feasibility of using optoelectronic motion analysis
systems to characterize spinal alignment and balance in patients with adult spine deformity.
The primary objective is to assess the practical implementation, measurement capability, and
resources required for motion analysis. Secondary objectives include exploring potential
strategies to compensate for errors in absolute spinal curvature assessment due to markers on
soft tissue.
The study will recruit 20 patients seeking medical attention for adult spine deformities
(divided into non-operated and operated subgroups) and 10 healthy controls. Participants will
undergo biplanar imaging and motion analysis to capture static and dynamic spine alignment
during various activities. The data obtained will be used to build patient-specific
musculoskeletal models, offering potential insights into improving surgical planning for
adult spine deformities.
The findings of this study may lead to advancements in understanding spinal deformities and
help in developing personalized treatment strategies to improve outcomes for patients
suffering from adult spine deformities.